Principal Component Analysis Problem Formulation

Loading...
Visualizar o programa do curso

Habilidades que você aprenderá

Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms, Machine Learning

Avaliações

4.9 (116,928 classificações)
  • 5 stars
    108,274 ratings
  • 4 stars
    7,978 ratings
  • 3 stars
    502 ratings
  • 2 stars
    85 ratings
  • 1 star
    89 ratings
AD

Apr 22, 2017

Very good coverage of different supervised and unsupervised algorithms, and lots of practical insights around implementation. All the explanations provided helped to understand the concepts very well.

OK

Apr 18, 2018

You need to know, what do you want to get out of this course. It gives you a lot of information, but be prepared to work hard with linear algeabra and make efforts to compute things in Mathlab/Octave.

Na lição
Dimensionality Reduction
In this module, we introduce Principal Components Analysis, and show how it can be used for data compression to speed up learning algorithms as well as for visualizations of complex datasets.

Ministrado por

  • Andrew Ng

    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain

Explore nosso catálogo

Registre-se gratuitamente e obtenha recomendações, atualizações e ofertas personalizadas.